Proxy IP Load Balancing Scheme: Traffic Distribution Policy for Distributed Proxy Pools

This is probably the most grounded guide to proxy IP assignment

The old Zhang crawler recently had a headache, his script was always blocked by the target site IP, add proxy pool, 2000 IP random use or be detected. What's the problem? It's like sending 100 buns to 10 people, some people will die and others will starve to death, which is a typical traffic distribution site.

Three major potholes in traffic distribution you don't want to step into

Many people tend to make these three mistakes when using proxy pools:Brainless random polling(Uneven IP consumption),Struggle with IP to the end(Trigger frequency limit),Good and bad IP in one pot(Low quality IPs drag down the whole). It's like serving guests with wines that are mixed from different vintages, it's a wonder they don't flop.

 Bug Demonstration: Simple Random Selection
import random
def get_proxy(): return random.choice(proxy_list)
    return random.choice(proxy_list) This wastes quality IPs

The golden combination of dynamic/static IPs

ipipgo's.Dynamic homes + static homesThe combination of packages is like stir-frying vegetables over a high flame and stewing them slowly over a low flame. Dynamic IP is suitable for high-frequency operations (such as price monitoring), and static IP is used in scenarios that require continuous sessions (such as autofill). Here is a comparison of the actual test data:

Four Steps to Build an Intelligent Distribution System

Say a real case: a cross-border e-commerce team with ipipgo API with the following program, the order capture efficiency increased by 3 times:

 Smart assignment core logic
def smart_proxy(proxy_type, task_priority).
    if task_priority == 'HIGH': return get_static_proxy().
        return get_static_proxy() use long term stable IPs
    elif 'SEARCH' in proxy_type.
        return get_rotating_proxy(interval=5) change IP in 5 minutes
    else: return get_geo_proxy(interval=5)
        return get_geo_proxy(country='US') Specify region IPs

This is done in four steps:
1. To the proxy poolhealth checkup(Response rate/success rate monitoring)
2. By business scenarioLabeling classification(HF/long session/geographically sensitive)

3. Settingstraffic weight(More work on quality IPs, new IPs to test the waters first)
4. Configurationfusion mechanism(3 consecutive failures to go offline automatically)

Ready-to-use programs that even a novice can use

If you don't want to write your own code, ipipgo's console already has smart routing built in. When creating a proxy group, check the"Intelligent Load"option will do it automatically:
- Automatic exclusion of IPs whose response exceeds 500ms
- Automatic switching of standby nodes for failed requests
- Automatic IP pool expansion during peak traffic

Frequently Asked Questions

Q: How do I choose a package for Dynamic IP and Static IP?
A: High-frequency collection choose dynamic residential (enterprise version), need long-term stable connection (such as auto-fill) with static residential package.

Q: What should I do if my IP suddenly fails?
A: Add X-Retry-Count:3 in the API request header of ipipgo, the system will automatically retry other nodes.

Q: What if I need to use multiple country IPs at the same time?
A: Created in the console"Mixed Proxy Groups", set the geographic distribution ratio (e.g., US 60% + Japan 40%).

Q: How do I deal with anti-crawl upgrades on my website?
A: Turn on ipipgo's"Traffic obfuscation model", automatically simulate different browser fingerprints.

Tell the truth.

Seen too many people make proxy pools into IP trash cans, in factNot the more IPs the better. The key is to design an allocation strategy based on business characteristics, just like stir-frying vegetables to master the fire. When using ipipgo, remember to live their"Intelligent Routing."respond in singing"IP Quality Monitoringfunction, it's a lot less work than tossing it yourself.